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An Experimental Study of Operator Choices in the (1+(λ,λ)) Genetic Algorithm

<p>This dataset contains experimental results that accompanies the same-named paper accepted to the MOTOR conference and scheduled to be published in a CCIS volume.</p> <p>The following data files are a part of this dataset, whose meaning should become clear after reading the paper:</p> <ul> <li>w1-runs.csv: the results of each of the runs, each of the configurations on the OneMax problem;</li> <li>w2-runs.csv: same for the LinInt<sub>2</sub> problem;</li> <li>w5-runs.csv: same for the LinInt<sub>5</sub> problem;</li> <li>ms-runs.csv: same for the easy random MAX-SAT instances;</li> <li>w1-stats.csv: the quartile statistics for the OneMax problem;</li> <li>w2-stats.csv: same for the LinInt<sub>2</sub> problem;</li> <li>w5-stats.csv: same for the LinInt<sub>5</sub> problem;</li> <li>ms-stats.csv: same for the easy random MAX-SAT instances;</li> <li>tunings-static.csv: the outcomes of irace for the static configurations (with fixed &lambda;);</li> <li>tunings-dynamic.csv: the outcomes of irace for the dynamic configurations (with self-adjusting &lambda;).</li> </ul> <p>Apart from that, the file pictures.pdf presents the contents of *-stats.csv files visually in a concide way.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0